Electronic proceedings author index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Jean Paul Barddal
  • ESANN 2018 - Adaptive random forests for data stream regression [Details]
Jean Paul Barddal
  • ESANN 2022 - A Machine Learning Approach for School Dropout Prediction in Brazil [Details]
Jean Paul Barddal
  • No papers found
Jean-Marc Bardet
  • ESANN 2016 - Comparison of three algorithms for parametric change-point detection [Details]
F. Bardi
  • ESANN 2001 - Intelligent hardware for identification and control of non-linear systems with SVM [Details]
R. Barea
  • ESANN 1998 - A neural network for the identification of the dynamic behaviour of a wheelchair [Details]
  • ESANN 2000 - E.O.G. guidance of a weelchair using spiking neural networks [Details]
  • ESANN 2000 - Neurocontrol of a binary distillation column [Details]
Berardino Barile
  • ESANN 2022 - A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification [Details]
Berardino Barile
  • No papers found
Jörg Barkhausen
  • ESANN 2024 - AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras [Details]
Panagiotis Barkoutsos
  • ESANN 2020 - An quantum algorithm for feedforward neural networks tested on existing quantum hardware [Details]
Annalisa Barla
  • ESANN 2008 - A method for robust variable selection with significance assessment [Details]
  • ESANN 2010 - Learning how to grasp objects [Details]
  • ESANN 2012 - Discriminant functional gene groups identification with machine learning and prior knowledge [Details]
  • ESANN 2013 - A dictionary learning based method for aCGH segmentation [Details]
J. Barnard
  • ESANN 1999 - The application of neural networks to the paper-making industry [Details]
Mauro Barni
  • No papers found
Mauro Barni
  • ESANN 2022 - Detection and Localization of GAN Manipulated Multi-spectral Satellite Images [Details]
Johanna Baro
  • ESANN 2013 - Hierarchical and multiscale Mean Shift segmentation of population grids [Details]
johanna baro
  • ESANN 2024 - Evaluation methodology for disentangled uncertainty quantification on regression models [Details]
Ana Maria Barragan Montero
  • ESANN 2021 - Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models [Details]
  • ESANN 2023 - Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer [Details]
  • ESANN 2024 - SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image Segmentation [Details]
Ana Barragan Montero
  • ESANN 2019 - Application of deep neural networks for automatic planning in radiation oncology treatments [Details]
Sabine Barrat
  • ESANN 2016 - Incremental hierarchical indexing and visualisation of large image collections [Details]
Noelia Barreira Rodríguez
  • ESANN 2016 - On the analysis of feature selection techniques in a conjunctival hyperemia grading framework [Details]
Guilherme Barreto
  • ESANN 2010 - Image registration by the extended evolutionary self-organizing map [Details]
  • ESANN 2010 - Multiple Local Models for System Identification Using Vector Quantization Algorithms [Details]
  • ESANN 2012 - Learning visuo-motor coordination for pointing without depth calculation [Details]
  • ESANN 2014 - A new model selection approach for the ELM network using metaheuristic optimization [Details]
  • ESANN 2014 - reject option paradigm for the reduction of support vectors [Details]
Ignacio Barrio
  • ESANN 2006 - On the selection of hidden neurons with heuristic search strategies for approximation [Details]
S. Barro
  • ESANN 2000 - Learning of perceptual states in the design of an adaptive wall-following behavior [Details]
A.R. Barron
  • ESANN 2001 - Penalized least squares, model selection, convex hull classes and neural nets [Details]
Trevor Barron
  • ESANN 2016 - Visualizing stacked autoencoder language learning [Details]
Pablo Barros
  • ESANN 2020 - CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning [Details]
Filipa S. Barros
  • ESANN 2024 - Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models [Details]
Pablo Barros
  • ESANN 2014 - FINGeR: Framework for interactive neural-based gesture recognition [Details]
  • ESANN 2015 - Dynamic gesture recognition using Echo State Networks [Details]
  • ESANN 2015 - Learning objects from RGB-D sensors using point cloud-based neural networks [Details]
  • ESANN 2016 - Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network [Details]
  • ESANN 2018 - A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition [Details]
De Moor Bart
  • ESANN 2007 - Convex optimization for the design of learning machines [Details]
Marius Bartcus
  • ESANN 2014 - Bayesian non-parametric parsimonious clustering [Details]